§ Sven by Tumezi

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BKNG

As-of 2026-05-22 · run #10

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Historical rows from the featured store. Choose up to three series; hover a point for the value at that date.

Probabilities · 15d / 10% target_15d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_15d_10_perc_gain global global 0.1249 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.1824 0 0.336
Mean (global + sector) 0.1536 0.277

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2951 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.3689 1 0.219
Mean (global + sector) 0.332 0.311

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0558 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.0864 0 0.412
Mean (global + sector) 0.0711 0.295

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.5522 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5627 1 0.395
Mean (global + sector) 0.5575 0.277

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.346 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.1353 0 0.354
Mean (global + sector) 0.2407 0.31

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0514 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.0464 0 0.265
Mean (global + sector) 0.0489 0.294

All models · summary

One row per trained target: mean P and mean threshold after combining global and sector. Bottom row averages those across models.

Model Mean P (global+sector) Mean thresh (global+sector)
15d / 10% target_15d_10_perc_gain 0.1536 0.277
30d / 10% target_30d_10_perc_gain 0.332 0.311
30d / 20% target_30d_20_perc_gain 0.0711 0.295
60d / 10% target_60d_10_perc_gain 0.5575 0.277
60d / 20% target_60d_20_perc_gain 0.2407 0.31
60d / 30% target_60d_30_perc_gain 0.0489 0.294
Mean across models 0.234 0.294

Inputs & features (prediction_snapshot)

Same calendar row as inference (snapshot stored at prediction time, or live query).

1. open 159.18
2. high 162.8
3. low 159.0
4. close 161.06
5. adjusted close 161.06
6. volume 7380355.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 25.335
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 5.0
adx_strong_trend_count_30 5.0
adx_strong_trend_count_7 5.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 0.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 148.896
BBANDS_20_Real Middle Band 163.5455
BBANDS_20_Real Upper Band 178.195
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.26476647503319944
econ_cpi_value 333.02
econ_fed_funds_value 3.64
econ_tsy_10y_value 4.32
econ_tsy_3m_value 3.7
econ_unemployment_value 4.3
excess_ret_vs_spy_20 -0.1521344242656939
excess_ret_vs_spy_60 -0.11764017332136656
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry hotels,_resorts_&_cruise_lines
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 10.0
macd_buy_count_7 0.0
MACD_MACD -4.8218
MACD_MACD_Hist -0.0519
MACD_MACD_Signal -4.7699
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 20.0
macd_sell_count_7 7.0
OBV_OBV 6183375238.0
price_vs_roll7 0.028752361051539888
roc_30 -0.07148622160728701
roc_7 0.0388956976069148
rolling_avg_30 170.361
rolling_avg_7 156.5585714285714
RSI_14_RSI 44.4453
rsi_buy 0
rsi_buy_count_14 0.0
rsi_buy_count_30 0.0
rsi_buy_count_7 0.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 0.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.3127857142857136
sma_200_gradient_30 -0.27186666666666687
sma_200_gradient_7 -0.3125714285714269
SMA_200_SMA 195.1105
sma_50_gradient_14 -0.20268571428571494
sma_50_gradient_30 -0.07170000000000035
sma_50_gradient_7 -0.3830571428571464
SMA_50_SMA 170.9371
sma_death_cross 1
sma_death_cross_count_14 14.0
sma_death_cross_count_30 30.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 0.0
sma_golden_cross_count_30 0.0
sma_golden_cross_count_7 0.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.008642284569138292
stock_ret_sum_20 -0.10824338596947891
stock_ret_sum_60 -0.033730545499672915
sven_beta_buy 0
volatility_30 12.006621836761324
volatility_7 2.788915132997364
volume_avg_30 7334154.9
volume_avg_7 7251403.571428572
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 1.0
vwma_buy_count_30 8.0
vwma_buy_count_7 1.0
vwma_sell 0
vwma_sell_count_14 13.0
vwma_sell_count_30 22.0
vwma_sell_count_7 6.0
xs_z_price_vs_roll7 0.5131660680513142
xs_z_roc_30 -0.6973161966995219
xs_z_volatility_30 -0.009690992047926754